Correlation Between Fiberhome Telecommunicatio and NBTM New
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By analyzing existing cross correlation between Fiberhome Telecommunication Technologies and NBTM New Materials, you can compare the effects of market volatilities on Fiberhome Telecommunicatio and NBTM New and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Fiberhome Telecommunicatio with a short position of NBTM New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fiberhome Telecommunicatio and NBTM New.
Diversification Opportunities for Fiberhome Telecommunicatio and NBTM New
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Fiberhome and NBTM is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Fiberhome Telecommunication Te and NBTM New Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NBTM New Materials and Fiberhome Telecommunicatio is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Fiberhome Telecommunication Technologies are associated (or correlated) with NBTM New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NBTM New Materials has no effect on the direction of Fiberhome Telecommunicatio i.e., Fiberhome Telecommunicatio and NBTM New go up and down completely randomly.
Pair Corralation between Fiberhome Telecommunicatio and NBTM New
Assuming the 90 days trading horizon Fiberhome Telecommunication Technologies is expected to generate 0.76 times more return on investment than NBTM New. However, Fiberhome Telecommunication Technologies is 1.32 times less risky than NBTM New. It trades about 0.2 of its potential returns per unit of risk. NBTM New Materials is currently generating about 0.08 per unit of risk. If you would invest 1,758 in Fiberhome Telecommunication Technologies on September 25, 2024 and sell it today you would earn a total of 144.00 from holding Fiberhome Telecommunication Technologies or generate 8.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Fiberhome Telecommunication Te vs. NBTM New Materials
Performance |
Timeline |
Fiberhome Telecommunicatio |
NBTM New Materials |
Fiberhome Telecommunicatio and NBTM New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fiberhome Telecommunicatio and NBTM New
The main advantage of trading using opposite Fiberhome Telecommunicatio and NBTM New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fiberhome Telecommunicatio position performs unexpectedly, NBTM New can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in NBTM New will offset losses from the drop in NBTM New's long position.The idea behind Fiberhome Telecommunication Technologies and NBTM New Materials pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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